The first round of talk proposals have been finalized! The selected speakers and their talks are as follows:

Speakers Talks
Sherin Thomas PyTorch Demystified, Why Did I Switch
Manan Singh Dimensionality Reduction Techniques - “You can compress!”
Tutan Ahmed Forecasting Job Growth and Skill Requirements using Data Intelligence
Ujjwal Gupta Stephanie | Virtual assistant at your service
Rishabh Mehrotra Beyond Clicks: Deep Sequential Models for Task Satisfaction Prediction with Conversational Agents
Nabarun Pal Building camera based intelligent applications
Srinivasan Rangarajan Real-time log analytics using Probabilistic Data Structures in Redis
Amita Kapoor Transfer Learning Using Tensorflow and Keras
Ayush Pandey Convex.jl: A native Julia package for real or complex domain Convex Optimization
Saurabh Agarwal Things to know while choosing a Deep Learning a library
Vinay Kumar Hitchhiker’s guide to using Neo4J: Trials & Tribulations of deploying a scalable graph API on Cloud
Simrat Hanspal Interestingness of interestingness measures
Nipun Batra Altair: Declarative Visualizations in Python
Navya Agarwal Encoder Decoder Architecture
Jalem Raj Rohit Regression Analysis - The good, the bad and the untold
Shagun Sodhani Machine Learning Architectures


We still have a few slots left so keep an eye out for updates. Follow PyDataDelhi on twitter for further updates.